Nerimi: WiFi-based subway navigation system

Inje Lee, Gi-Wan Yoon, Dongsoo Han
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引用次数: 6

Abstract

In this paper, we propose a WiFi-based stop notification system. The users of the system inform their destination stops to the system, then the system provides subway navigation services to the users in real-time. To construct the system, we have collected WiFi fingerprints at 15 lines for 536 Seoul subway stops. Also, we have implemented a WiFi-based subway stop notification system for Seoul subways in Korea. We have tested the accuracy of our system, Nerimi, at Seoul subways. Among the 536 stops, the system could detect the subway stops with over 90% accuracy. Thus, if we can capture the WiFi signals at every stop of the subways, using the WiFi signals will be highly eligible for building a subway navigation system.
本文提出了一种基于wifi的停车通知系统。用户将自己的目的地站点告知系统,系统实时为用户提供地铁导航服务。为了构建该系统,我们在首尔地铁536个站点的15条线路收集了WiFi指纹。我们还在首尔地铁上实施了以wifi为基础的车站通知系统。我们已经在首尔地铁测试了我们的系统“Nerimi”的准确性。在536个站点中,该系统检测地铁站点的准确率超过90%。因此,如果我们能够在地铁的每一站捕捉到WiFi信号,那么利用这些WiFi信号来构建地铁导航系统将是非常合适的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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